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376,044
Followers
280
Following
12,759
Tweets
1,092.1
Avg Engagement
489
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @moura_101's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2015-06-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:903.6
- Avg Retweets per Tweet:188.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,231 tweetsThe account has high average likes and retweets, suggesting a highly engaged audience. The content is likely to spark debate and interaction due to its provocative nature.
903.6
Avg Likes/Tweet
188.6
Avg Retweets/Tweet
2,919,455
Total Likes
609,268
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
63
Median Likes
65
Median Retweets
1,492
75th Percentile
27,561
Top Tweet
2.9
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
28.8%
Original
35.1%
Replies
33.1%
Retweets
3.0%
Quotes
0.0%
Threads
0.0%
With Media
35.3%
With Links
2.5%
With #Tags
72.6%
With @Mentions
1.8%
With Emojis
111
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.22
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.8%
Weekday Posts
26.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,070 retweets (33% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,231 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe audience likely includes politically engaged individuals and those interested in controversial topics. The user's content may attract followers who are interested in political scandals and public figures.
Average
Audience Quality
26.3%
Suspicion Index
35.5%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.7%
Empty Bio
30.8%
<10 Tweets
3.2%
Mass Following (>2K)
0.0%
New (<90 days)
61.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
21.3%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
15,571,913
Total Potential Reach
8
Median Follower Reach
44
75th Percentile Reach
2.3%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
45.7%
Creators
22,854 accounts
23.4%
Consumers
11,725 accounts
30.8%
Dormant
15,421 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
174
Verified Followers
0.17% of total
8,898
Protected Accounts
8.81% of total
4 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @choquei | 5,158,897 | Entertainment News | artistas, famosos, acontecimentos |
| @o_antagonista | 1,831,429 | News Editor | politics, news, journalism |
| @Maraisa | 1,564,974 | Singer | Sertaneja, Fitness, Random |
| @CRonaldoNews | 713,467 | Fan Account | Football, Cristiano Ronaldo, Updates |
| @joaodamoedo | 520,785 | Político | Politics, Engineering, Administration |
| @Hortencia | 519,593 | Athlete | Sports, Motivational Speaking, Hall of Fame |
| @BorrachinhaMMA | 482,452 | Meme Creator | MMA, Memes, Chad |
| @xetdouber | 395,703 | - | - |
| @PauIoGuedes | 334,702 | Ministro | Economy, Politics, News |
| @paulomathias | 321,007 | Broadcaster | Family, Entrepreneurship, Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,376
Followers With Bio
47,623
Followers Without Bio
52.85%
% With Bio
47.15%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,231 analyzed84,724
Combined Engagement
65,921
Total Likes
18,803
Total Retweets
16,945
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
O cara contratou os melhores hackers do mundo, gastou milhões em inteligência e analise de dados, colocou a forças armadas e a ABIN para fiscalizar, teve um fiscal do partido por urna, participou e referendou todos os testes de segurança... Agora aparece um argentino? É Isso?
Faltou os votos dos que vocês difamaram, debocharam, humilharam, assassinaram a reputação???? Quem planta COLHE, filhos da puta.
Bom dia mamacote @nikolas_dm gostaria de saber qual o interesse do Ronosalto Pereira Neves, investigado pelo recebimento de vantagens indevidas do grupo da JBS, em doar 100 mil para sua campanha. Você já explicou? https://t.co/FeWnVyvaUB
Isso aqui é o vereador Nikolas Ferreira NO MEIO DA AUDIÊNCIA DO PROCESSO: De moto, sem capacete, lambendo o estelionatário eleitoral na motociata, sem respeito nenhum com o tribunal e gargalhando da justiça brasileira. @nikolas_dm https://t.co/bLT9WvecqD
RT @DaniloGentili: Ex-presidente @jairbolsonaro : você terminou o último debate dizendo “Se Deus quiser serei reeleito”. Ele não quis poi…
Key Insights & Takeaways
The user frequently makes allegations against public figures and political entities The content often includes strong language and accusations, which may drive engagement The user's tweets suggest a focus on political corruption and public accountability
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 376,044
- + High community engagement through conversations
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @moura_101 reveals an exceptionally influential Twitter presence with 376,044 followers. The account demonstrates a conversation-first approach, averaging 1,092.1 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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